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1

Doddamallappanavar, Shweta, Deepa S. Haveri, and Asst Prof Chaitanya K. Jambotkar. "Energy Management System Using Renewable Energy Sources." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 331–34. http://dx.doi.org/10.31142/ijtsrd21343.

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Priyadarshana, HVV, MA Kalhan Sandaru, KTMU Hemapala, and WDAS Wijayapala. "A review on Multi-Agent system based energy management systems for micro grids." AIMS Energy 7, no. 6 (2019): 924–43. http://dx.doi.org/10.3934/energy.2019.6.924.

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3

Ju, Seung-Hwan, and Hee-Suk Seo. "Data Quality Test Method for Factory Energy Management System." Webology 19, no. 1 (January 20, 2022): 4420–27. http://dx.doi.org/10.14704/web/v19i1/web19291.

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Because data is an important factor in the software industry, how to reliably test data is important. This is even more essential for building Industry 4.0 and smart industrial complexes. This study prepares ISO/IEC 25024-based test methods and guidelines and uses them for energy management at the industrial complex level. In order to provide services by collecting energy data from industrial complexes, it is necessary to verify data quality based on data reliability and compatibility of each plant. Data quality technology needs to conform to ISO TC184/SC4/WG13 (industrial data quality standard) based technology. The study defines the data quality evaluation matrix for the energy management system of industrial parks and factories. It defines five categories and maps detailed indicators to each. The category has three detailed items, which are evaluation items for core requirements, interoperability, and conformity to standards. Each data requirement category covers functionality and reliability, usability and efficiency, and portability as data requirements in the system. Core requirements for system operation such as data consistency are basic evaluation items, and interoperability, which is the semantic compatibility of data for integrated operation of multiple sites, is verified. In addition, data quality is evaluated by verifying standard conformance. Through this evaluation system, the requirements for linking the factory energy management system data with the industrial complex energy management system can be evaluated. This can be used to monitor data quality and develop improvement technologies by developing a master data quality management technology standard suitable for industrial sites.
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Ilnytskyi, R., and R. Karpa. "A COMPUTERIZED ENERGY MANAGEMENT SYSTEM FOR A SMART HOME." Computer systems and network 5, no. 1 (December 16, 2023): 36–49. http://dx.doi.org/10.23939/csn2023.01.036.

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This work is devoted to the study of Smart Home systems based on the development of an energy optimization system for a smart home and based on various wireless communication protocols. The paper considers the construction of a home monitoring and control system based on the latest Bluetooth Low-Energy protocol using modern technologies. A device for monitoring and controlling electrical appliances, which is an element of this system, is proposed. The proposed architecture has advantages over other existing systems: reliability, performance, ease of deployment, and management. The system is flexible due to the possibility of selecting operating modes (automatic or manual) and changing various settings that affect the operation of the optimization algorithm. The paper presents examples of the system operation in different modes and at different values of the algorithm settings, consisting of a server deployed on a personal computer and two developed monitoring and control device prototypes. Keywords: smart home, energy consumption optimization, monitoring and control of electrical appliances, smart sockets, Bluetooth low energy.
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Azagra, Esteban. "Energy management system implementation." Proceedings of the Water Environment Federation 2018, no. 1 (January 1, 2018): 50–52. http://dx.doi.org/10.2175/193864718823773175.

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6

Rabadjiyski, M., Tz Georgiev, M. Georgiev, Y. Dachev, and St Stojkov. "ELECTRICAL ENERGY MANAGEMENT SYSTEM." IFAC Proceedings Volumes 39, no. 19 (2006): 159–64. http://dx.doi.org/10.3182/20061002-4-bg-4905.00027.

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7

Rane, Manasi. "Home Energy Management System." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 647–51. http://dx.doi.org/10.22214/ijraset.2021.34231.

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8

OGITA, Yoshihiro, Yutaka IINO, and Hideki HAYASHI. "Buildings Energy Management System." Journal of The Institute of Electrical Engineers of Japan 132, no. 10 (2012): 692–94. http://dx.doi.org/10.1541/ieejjournal.132.692.

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HAYASHI, Hideki, Yukitoki TSUKAMOTO, and Shouji MOCHIZUKI. "Home Energy Management System." Journal of The Institute of Electrical Engineers of Japan 132, no. 10 (2012): 695–97. http://dx.doi.org/10.1541/ieejjournal.132.695.

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IWAFUNE, Yumiko. "Home Energy Management System." Journal of The Institute of Electrical Engineers of Japan 133, no. 12 (2013): 809–12. http://dx.doi.org/10.1541/ieejjournal.133.809.

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11

Asalomia, Laurențiu Bogdan, and Gheorghe Samoilescu. "Naval Energy Management System." International conference KNOWLEDGE-BASED ORGANIZATION 26, no. 3 (June 1, 2020): 20–25. http://dx.doi.org/10.2478/kbo-2020-0109.

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AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.
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12

Bureš, Z., M. Šula, and V. Přenosil. "Vehicle Energy Management System." Transactions on Transport Sciences 5, no. 1 (March 1, 2012): 45–52. http://dx.doi.org/10.2478/v10158-012-0006-3.

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13

Turduev, I., and Zh Kamchybekov. "Automated Energy Management System." Bulletin of Science and Practice 10, no. 12 (December 14, 2024): 215–19. https://doi.org/10.33619/2414-2948/109/31.

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This article discusses the issue of installing commercial electricity metering systems; in these conditions, it is possible only at consumer substations. This allows the personnel of enterprises to use the ASKUE both for operational control and for regulating the modes of their own energy consumption.
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14

Oh, Jin-Seok. "Building Energy Management System Coupling with Renewable Energy System." Journal of Navigation and Port Research 34, no. 9 (December 31, 2010): 705–9. http://dx.doi.org/10.5394/kinpr.2010.34.9.705.

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15

Munn, Jeffrey R. "WEEC 2008 Energy Management Systems Pushing Your Energy Management System to the Limit." Energy Engineering 106, no. 3 (May 2009): 51–58. http://dx.doi.org/10.1080/01998590909509180.

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16

Elweddad, Mohamed, Muhammet Güneşer, and Ziyodulla Yusupov. "Designing an energy management system for household consumptions with an off-grid hybrid power system." AIMS Energy 10, no. 4 (2022): 801–30. http://dx.doi.org/10.3934/energy.2022036.

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<abstract> <p>This paper analyzes the effect of meteorological variables such as solar irradiance and ambient temperature in addition to cultural factors such as consumer behavior levels on energy consumption in buildings. Reducing demand peaks to achieve a stable daily load and hence lowering electricity bills is the goal of this work. Renewable generation sources, including wind and Photovoltaics systems (PV) as well as battery storage are integrated to supply the managed home load. The simulation model was conducted using Matlab R2019b on a personal laptop with an Intel Core i7 with 16 GB memory. The model considered two seasonal scenarios (summer and winter) to account for the variable available energy sources and end-user electric demand which is classified into three demand periods, peak-demand, mid-demand, and low-demand, to evaluate the modeled supply-demand management strategy. The obtained results showed that the surrounding temperature and the number of family members significantly impact the rate of electricity consumption. The study was designed to optimize and manage electricity consumption in a building fed by a standalone hybrid energy system.</p> </abstract>
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17

Pradip, C., Dr M. S. P. Subathra, and R. P. Amritha. "Energy Management Strategy for PV- Grid Connected Residential Microgrid System." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 546–54. http://dx.doi.org/10.5373/jardcs/v11sp12/20193250.

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18

P, Reznik Nadiia. "Features of the Energy Efficiency Management System of the Enterprise." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 412–18. http://dx.doi.org/10.5373/jardcs/v12sp7/20202123.

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19

Seo, Hyun Sang, and Haeng Muk Cho. "Thermal management system for electric vehicle batteries and technology trends." Journal of Energy Engineering 23, no. 2 (June 30, 2014): 57–61. http://dx.doi.org/10.5855/energy.2014.23.2.057.

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20

Tupa R. Silalahi, Fitriani, Togar M. Simatupang, and Manahan P. Siallagan. "A system dynamics approach to biodiesel fund management in Indonesia." AIMS Energy 8, no. 6 (2020): 1173–98. http://dx.doi.org/10.3934/energy.2020.6.1173.

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21

Kamala, J., and K. Santhosh. "Efficient Energy Management System for Solar Energy." Automatika 56, no. 3 (January 2015): 292–302. http://dx.doi.org/10.7305/automatika.2015.12.716.

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22

Kim, Yong-Ha, Hyeon-Mi Jo, Young-Gil Kim, Hwa-Yong Park, Hyeong-Jung Kim, and Sung-Min Woo. "A Study on Effect Analysis of Integrated Demand Management According to Energy System Management Model." Transactions of The Korean Institute of Electrical Engineers 60, no. 7 (July 1, 2011): 1339–46. http://dx.doi.org/10.5370/kiee.2011.60.7.1339.

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23

Marimuthu, R., S. Balamuruga, H. Patel Dars, and S. Sivanantha. "Voice Controlled Energy Management System." Asian Journal of Applied Sciences 10, no. 1 (December 15, 2016): 25–31. http://dx.doi.org/10.3923/ajaps.2017.25.31.

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24

Soni, Gaurav. "Energy and Depression Management System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 20, 2021): 1902–7. http://dx.doi.org/10.22214/ijraset.2021.36789.

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The aim of the Internet of things (IoT) is to bring every object online. These different objects generate huge data which consequently lead to the need of requirements of efficient storage and processing. Cloud computing is an emerging technology to overcome this problem. The pandemic due to COVID-19 has caused great impact on people’s approach to have proper lifestyle. People these days are found inactive, unhappy and less energetic, because of their busy routine and continual ignorance of overall health. By keeping a track of their mental and physical health, one could achieve better response and hence expected lifestyle. Our solution is to detect, analyze and deliver a solution to treat depression and assist people with fulfilling their daily energy requirement for being more active and enthusiastic. Our solution is a Soft-Ui Web Application that gives smooth UI/UX experience to users showcasing fluctuations in energy and playing games to get cognitive features’ result. The hardware is a wearable wrist band made with NodeMCU embedded with accelerometer and heart rate sensors. An analytical report is generated and updated in real time and user could download as per their convenience.
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25

TANIGUCHI, Haruhito. "Energy Management of Power System." Journal of The Institute of Electrical Engineers of Japan 133, no. 12 (2013): 804–8. http://dx.doi.org/10.1541/ieejjournal.133.804.

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26

Kumpanon, Arpakorn “Ping”, John Greco, Robert Pahor, Bradley Chai, Ruben Carrillo, David Wyllie, and Karen McGinley. "Guest Room Energy Management System." Energy Engineering 112, no. 5 (July 2015): 50–65. http://dx.doi.org/10.1080/01998595.2015.11449892.

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27

İzmitligil, Hasan, and Hanife Apaydn Özkan. "A home energy management system." Transactions of the Institute of Measurement and Control 40, no. 8 (February 1, 2018): 2498–508. http://dx.doi.org/10.1177/0142331217741537.

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In this study, an offline home energy management system that reduces electricity expense and peak demand without deteriorating residents’ contentment is considered. The main goal is to improve the system in the sense of reducing electricity expense, via interfering with appliances by means of interrupting as well as shifting their operation; and keeping up with the benefits of the newest technology, via plug-in hybrid electrical vehicle integration. The proposed offline home energy management system (OF-HEM) consists of smart electrical appliances, power resources (photovoltaic system, grid, backup battery), main controller, communication network and plug-in hybrid electrical vehicle. The main controller manages the power resources, appliances and plug-in hybrid electrical vehicle based on the solution of a mixed integer linear program with defined smart and energy-efficient operation constraints related to the smart appliances and power sources for data collected at the beginning of the day from the power resources and residents’ preferences. Conducted case studies demonstrate that OF-HEM significantly reduces electricity expenses and high peak demand.
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28

Abe, Hiroto, and Kentaro Ohara. "Energy Management Control System [Enemap]." JAPAN TAPPI JOURNAL 61, no. 9 (2007): 1073–78. http://dx.doi.org/10.2524/jtappij.61.1073.

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29

Tounsi Fokui, Willy Stephen, and Danube Wandji. "Energy Management System for Solar-powered Streetlighting Systems." E3S Web of Conferences 354 (2022): 02003. http://dx.doi.org/10.1051/e3sconf/202235402003.

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Public lighting or street lighting systems are raised sources of light on the edge of the road or walkway, that is turned ON at night or during bad weather to lighten the streets and turned OFF in the morning. The major problem with streetlights is their excessive energy consumption as most of that energy is wasted because the streets are empty between about 11 pm to 5 am. This also leads to the rapid degration of the streetlights and increased cost of maintenance operations which constitute a financial burden to the municipality. This paper solves this problem by proposing an energy management system for solar-powered streetlights that in addition to turning the streetlights ON when places are dark, puts the streetlights in an energy-saving mode when there is no one on the streets. Vibration sensors are used as motion detectors. The study is focused on the second bridge on the River Wouri, Douala, Cameroon. Simulation of the work is done using Proteus Professional and the results obtained are compared with an estimated daily energy consumption of the existing streetlights on the bridge. It is seen that the energy consumption of the proposed system is 25740Wh, and this is far lesser compared to 187200Wh consumed by the existing system assuming each lamp is 150W.
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30

Wang, Linrong, Xiang Feng, Ruifen Zhang, Zhengran Hou, Guilan Wang, and Haixiao Zhang. "Energy management of integrated energy system in the park under multiple time scales." AIMS Energy 12, no. 3 (2024): 639–63. http://dx.doi.org/10.3934/energy.2024030.

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<abstract> <p>Considering the problem of time scale differences among subsystems in the integrated energy system of a park, as well as the increasing complexity of the system structure and number of control variables, there may be a deep reinforcement learning (DRL) "curse of dimensionality" problem, which hinders the further improvement of economic benefits and energy utilization efficiency of park-level integrated energy systems (PIES). This article proposes a reinforcement learning optimization algorithm for comprehensive energy PPO (Proximal Policy Optimization) in industrial parks considering multiple time scales for energy management. First, PIES are divided into upper and lower layers, the first containing power and thermal systems, and the second containing gas systems. The upper and lower layers of energy management models are built based on the PPO; then, both layers formulate the energy management schemes of the power, thermal, and gas systems in a long (30 min) and short time scale (6 min). Through confirmatory and comparative experiments, it is shown that the proposed method can not only effectively overcome the curse of dimensionality in DRL algorithms during training but can also develop different energy system management plans for PIES on a differentiated time scale, improving the overall economic benefits of the system and reducing carbon emissions.</p> </abstract>
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31

K., Aseem. "Energy Management Controller for Grid Connected Solar PV System with SMES-battery Hybrid Energy Storage." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 1385–96. http://dx.doi.org/10.5373/jardcs/v12sp4/20201617.

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32

Neffati, Ahmed, and Amira Marzouki. "Local energy management in hybrid electrical vehicle via Fuzzy rules system." AIMS Energy 8, no. 3 (2020): 421–37. http://dx.doi.org/10.3934/energy.2020.3.421.

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33

Umer, Saher, Yasuo Tan, and Azman Osman Lim. "Stability Analysis for Smart Homes Energy Management System with Delay Consideration." Journal of Clean Energy Technologies 2, no. 4 (2014): 332–38. http://dx.doi.org/10.7763/jocet.2014.v2.150.

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34

Bakar, Amirah Nurhafizah Abu, Mohammad Rusydi Zahariman, and Ahmad Syahiman Mohd Shah. "Real-Time Wireless Energy Management System of Miniature Standalone Photovoltaic Application." Journal of Advanced Research in Dynamical and Control Systems 11, no. 09-SPECIAL ISSUE (September 25, 2019): 52–61. http://dx.doi.org/10.5373/jardcs/v11/20192535.

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35

Ogawa, Takehiro. "Energy Saving by Introducing Energy Management System(EMS)." JAPAN TAPPI JOURNAL 73, no. 3 (2019): 222–24. http://dx.doi.org/10.2524/jtappij.73.222.

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36

Rabhi, A., J. Bosch, and A. Elhajjaji. "Energy Management for an Autonomous Renewable Energy System." Energy Procedia 83 (December 2015): 299–309. http://dx.doi.org/10.1016/j.egypro.2015.12.184.

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37

Abdul Wahab, M. S., and N. A. Ramli. "Lighting Control System for Energy Management System and Energy Efficiency Analysis." Journal of Physics: Conference Series 1529 (May 2020): 052022. http://dx.doi.org/10.1088/1742-6596/1529/5/052022.

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38

Han, Jinsoo, Chang-sic Choi, Wan-ki Park, Ilwoo Lee, and Sang-ha Kim. "PLC-based photovoltaic system management for smart home energy management system." IEEE Transactions on Consumer Electronics 60, no. 2 (May 2014): 184–89. http://dx.doi.org/10.1109/tce.2014.6851992.

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39

Wu, Yu En, Kuo Chan Huang, and Chih Lung Shen. "Application of Embedded System in Energy Management System." Advanced Materials Research 875-877 (February 2014): 1949–53. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.1949.

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In this paper, a custom-made energy management system based on embedded system with a touch panel/LCD/FPGA and microprocessor is implemented, it not only solve the problem of energy waste, control scattered energy supply and saving, but also generate a user-friendly control platform. The life of the proposed system is also longer than an EMS with personal computer. In the proposed embedded EMS, a simulation of FPGA is firstly designed and processed with the control circuit of touch panel, RENESASs micro-processor, and communication panels of ZIGBEE and CAN BUS to constitute the system hardware. Analysis and allocation of energy is then done to complete the software design. Finally, experimental results are used to verify the feasibility and reliability of the proposed EMS.
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40

Kim, Yong-Ha, Hyun-Mi Jo, Ui-Gyeong Kim, Jeong-Hui Yoo, Dong-Gun Kim, and Sung-Min Woo. "A study on Development of Korean - Energy System Management Model for Effect Analysis of Integrated Demand Management." Transactions of The Korean Institute of Electrical Engineers 60, no. 6 (June 1, 2011): 1103–11. http://dx.doi.org/10.5370/kiee.2011.60.6.1103.

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41

Varzaneh, S. Ghafouri, A. Raziabadi, Mohammad Hosseinzadeh, and Mohammad J. Sanjari. "Optimal energy management for PV‐integrated residential systems including energy storage system." IET Renewable Power Generation 15, no. 1 (January 2021): 17–29. http://dx.doi.org/10.1049/rpg2.12002.

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42

Almihat, Mohamed G. Moh, and MTE Kahn. "Centralized control system for islanded minigrid." AIMS Energy 11, no. 4 (2023): 663–82. http://dx.doi.org/10.3934/energy.2023033.

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<abstract> <p>This study proposes a centralized control system for an islanded multivariable minigrid to improve its performance, stability and resilience. The integration of renewable energy sources and distributed energy storage systems into microgrid networks is a growing trend, particularly in remote or islanded areas where centralized grid systems are not available. The proposed control system is designed to be implemented at two levels a high-level control system and a low-level control system. Hence, the high-level control system balances energy resources and demand, makes decisions for effective resource utilization and monitors energy transactions within the minigrid. Real-time data from various sources and advanced algorithms are used to optimize energy management and distribution enabling the integration of renewable energy sources and enhancing the resilience of the minigrid against power outages.</p> <p>Moreover, the low-level control system monitors energy parameters such as voltage, current, frequency and mechanical energy. The control system ensures these parameters remain within the specified range, maintaining system stability and ensuring efficient energy distribution. It also protects the minigrid against power outages improving system reliability and security. Finally, the proposed centralized control system offers a promising solution for improving the performance, stability and resilience of microgrid networks. The system provides real-time monitoring, efficient energy management and distribution, and the integration of renewable energy sources. These results have important implications for the development and deployment of microgrid networks in remote or islanded areas.</p> </abstract>
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43

Elsaid, S., and R. Zaki. "ENERGY MANAGEMENT SYSTEM FOR MULTI-LEVEL ELECTRICAL DISTRIBUTION SYSTEMS." Journal of Al-Azhar University Engineering Sector 12, no. 45 (October 1, 2017): 1359–70. http://dx.doi.org/10.21608/auej.2017.19143.

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44

Mutingi, Michael, Charles Mbohwa, and Partson Dube. "System dynamics archetypes for capacity management of energy systems." Energy Procedia 141 (December 2017): 199–205. http://dx.doi.org/10.1016/j.egypro.2017.11.038.

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45

Swathika, O. V. Gnana, and K. T. M. U. Hemapala. "IOT Based Energy Management System for Standalone PV Systems." Journal of Electrical Engineering & Technology 14, no. 5 (June 3, 2019): 1811–21. http://dx.doi.org/10.1007/s42835-019-00193-y.

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46

Zelazo, Daniel, Ran Dai, and Mehran Mesbahi. "An energy management system for off-grid power systems." Energy Systems 3, no. 2 (January 31, 2012): 153–79. http://dx.doi.org/10.1007/s12667-012-0050-4.

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47

Jovanovic, Bojana. "Energy management system certification in industry." Tehnika 69, no. 6 (2014): 1080–85. http://dx.doi.org/10.5937/tehnika1406080j.

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48

Bharathi, K., M. Jasmine M.Jasmine, and Madhu Nakirekanti. "Embedded Energy and Power Management System." International Journal of Computer Applications 110, no. 7 (January 16, 2015): 10–12. http://dx.doi.org/10.5120/19327-0819.

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49

Wu, Yun Na, Jia Li Wang, and Jiang Shuai Li. "Energy Project Portfolio Management System Construction." Advanced Materials Research 211-212 (February 2011): 72–77. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.72.

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As increasingly complex of the energy project management, traditional project management system is not very suitable for energy projects management. Combined with unique characteristics of energy projects, this paper studies the current state of the energy project development and takes advantage of project portfolio management, builds the energy project portfolio management system which includes energy project advices, selection, evaluation, assessment and implementation. The system solves the complex problems of energy project management, and then ensures that energy projects meet the strategic requirements of country and enterprises.
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50

ATTOU, Nasreddine, Sid-Ahmed ZIDI, Mohamed KHATIR, and Samir HADJERI. "Energy Management System for Hybrid Microgrids." Electrotehnica, Electronica, Automatica 69, no. 2 (May 15, 2021): 21–30. http://dx.doi.org/10.46904/eea.21.69.2.1108003.

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Energy management in grid-connected Micro-grids (MG) has undergone rapid evolution in recent times due to several factors such as environmental issues, increasing energy demand and the opening of the electricity market. The Energy Management System (EMS) allows the optimal scheduling of energy resources and energy storage systems in MG in order to maintain the balance between supply and demand at low cost. The aim is to minimize peaks and fluctuations in the load and production profile on the one hand, and, on the other hand, to make the most of renewable energy sources and energy exchanges with the utility grid. In this paper, our attention has been focused on a Rule-based energy management system (RB EMS) applied to a residential multi-source grid-connected MG. A Microgrid model has been implemented that combines distributed energy sources (PV, WT, BESS), a number of EVs equipped with the Vehicle to Grid technology (V2G) and variable load. Different operational scenarios were developed to see the behaviour of the implemented management system during the day, including the random demand profile of EV users, the variation in load and production, grid electricity price variation. The simulation results presented in this paper demonstrate the efficacy of the suggested EMS and confirm the strategy's feasibility as well as its ability to properly share power among different sources, loads and vehicles by obeying constraints on each element.
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